Job description

The Senior Machine Learning Engineer role at SAP in Dubai focuses on designing and delivering production-grade machine learning and generative AI systems that operate at scale across enterprise environments. The position involves owning end-to-end ML architecture including data pipelines, feature stores, model training workflows, serving infrastructure, online experimentation, and observability systems. The role is responsible for building advanced AI solutions across deep learning, NLP, ranking, recommendation, forecasting, semantic retrieval, and large language model (LLM) applications. This includes implementing generative AI systems using embeddings, vector databases, retrieval-augmented generation (RAG) pipelines, agent-based workflows, prompt engineering, and safety guardrails. The engineer drives technical decisions on distributed training and inference, GPU optimization, model compression, retrieval optimization, drift detection, retraining strategies, and responsible AI governance. The role requires deep expertise in MLOps and platform engineering, including CI/CD pipelines, feature stores, model registries, experiment tracking, and automated validation frameworks. The engineer ensures performance, scalability, reliability, latency, and cost efficiency in live production environments. The position also includes defining evaluation frameworks, including offline benchmarking, online experimentation, hallucination analysis, and model risk assessment. Additionally, the role involves mentoring engineers, establishing reusable engineering patterns, and contributing to AI platform capabilities within SAP’s enterprise cloud ecosystem serving global customers across industries.